<p>Mapping variants to amino-acid changes in three-dimensional protein space improves aggregate association test power and suggests mechanisms of action</p>

Marcin von Grotthuss; Jose C. Florez; Jason Flannick; T2D-GENES Consortium; SIGMA Consortium; LuCAMP Consortium; ESP Consortium

doi:10.7490/f1000research.1113355.1

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von Grotthuss M, Florez JC, Flannick J et al. Mapping variants to amino-acid changes in three-dimensional protein space improves aggregate association test power and suggests mechanisms of action [version 1; not peer reviewed]. F1000Research 2016, 5:2610 (poster) (https://doi.org/10.7490/f1000research.1113355.1)

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Mapping variants to amino-acid changes in three-dimensional protein space improves aggregate association test power and suggests mechanisms of action

Marcin von Grotthuss¹, Jose C. Florez, Jason Flannick, T2D-GENES Consortium, SIGMA Consortium, LuCAMP Consortium, ESP Consortium

Published 31 Oct 2016 (https://doi.org/10.7490/f1000research.1113355.1)

Author Affiliations

¹ Broad Institute, USA

Copyright © 2016 von Grotthuss M et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 31 Oct 2016

Mapping variants to amino-acid changes in three-dimensional protein space improves aggregate association test power and suggests mechanisms of action
[version 1; not peer reviewed]

Marcin von Grotthuss¹, Jose C. Florez, Jason Flannick, T2D-GENES Consortium, SIGMA Consortium, LuCAMP Consortium, ESP Consortium

Author Affiliations

¹ Broad Institute, USA

Presented at

66th Annual Meeting of the American Society of Human Genetics 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

type 2 diabetes, human genetics, protein structure, genetic association data, GWAS, whole genome sequencing, exome sequencing, variant associations, SNP

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